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Deep Learning Course - Level: Beginner
So far in our discussion of artificial neural networks, we've explored how networks are made up of layers of nodes, with the layers being connected to each other via weights.
In addition to nodes and weights, we'll now introduce another layer component called bias that we've left out of our conversation up until now only for simplicity purposes. We'll now explore the purpose of bias in artificial neural networks.
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